Rapid prediction of vehicle interior wind noise via a hybrid convolutional neural network-transformer model and geometric styling features
A convolutional neural network transformer-based prediction method for vehicle interior wind noise by integrating vehicle styling features and acoustic technical parameters is proposed, which was compared with convolutional neural network (CNN), long short-term memory (LSTM), and transformer models.